23 pages., via online journal, Cultured meat has yet to reach store shelves but is nonetheless a growing issue for consumers, producers, and government regulators, many of whom have taken to social media to discuss it. Using a conceptual framework of social cognitive theory and issues management, this qualitative content analysis investigated social-media discourse surrounding the topic of cultured meat in the United States by describing the content of the discussion in late 2018 and identifying individual influencers and communities of influencers engaged in the discussion. Data were collected from Twitter using listening platform Sysomos MAP. The thematic analysis revealed eight themes: legality and marketing, sustainability, acceptance, business, animal concerns, science and technology, health concerns, and timeline, and indicated that conflicting views and questions about cultured meat exist among conversation participants. Top influencers included philanthropists, government officials, journalists and writers, and animal-welfare advocates. These influencers were grouped into four distinct communities based on interactions with each other and other users. The topics identified in the analysis provide insight into ways in which communicators can enter these conversations, and influencer communities represent groups of users whose broad reach could more easily transmit pro-agriculture messages.
6 pages, Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world’s most pressing challenges, and deliver positive social impact in accordance with the priorities outlined in the United Nations’ 17 Sustainable Development Goals (SDGs). The AI for Social Good (AI4SG) movement aims to establish interdisciplinary partnerships centered around AI applications towards SDGs. We provide a set of guidelines for establishing successful long-term collaborations between AI researchers and application-domain experts, relate them to existing AI4SG projects and identify key opportunities for future AI applications targeted towards social good.
21 Pages, While farmers sell their crops, middlemen provide a linkage between them, markets and buyers. Middlemen have good knowledge of working conditions of markets and have access to agricultural market information. Due to poor access to markets and agricultural market information by smallholders, there is a feeling that middlemen benefit more while farmers sell their crops. Good access to markets and market information may help farmers bypass middlemen while selling crops and thus benefit more. Thus, it is best to improve the informational capabilities (ICs) of farmers in agricultural marketing. Thus, this research measured ICs of farmers accessing market information, through a program NINAYO, while selling their crops. The research utilized the informational, psychological, social, and economic dimensions of the empowerment framework in identifying capability indicators to formulate survey questions. Data were collected from smallholders in six regions in Tanzania. The analysis utilized measures of life satisfaction and results showed that about half of the variation in the dependent variable, satisfaction with capabilities, was explained by the model. Backward elimination analysis confirmed that life satisfaction is multidimensional. Robustness test confirmed a positive relationship between satisfaction and capabilities. Overall, results confirmed ICs are multidimensions, their improvement empowers farmers in agricultural marketing.
8 pages, via Online journal, The use of tomato (Solanum lycopersicum) grafting is gaining traction across the United States, but small-scale growers face the challenge of creating optimum postgrafting healing conditions. The practice of blocking light for a period of 2 to 4 days while maintaining high humidity is commonly recommended for healing grafted tomato transplants; however, research is exploring alternatives to this practice. The present study investigated a low-input healing method for grafted tomato transplants with a specific focus on light and the use of propagation heat mats to regulate substrate and healing chamber air temperatures during the 7-day healing process. We hypothesized that 4 days of light exclusion and the use of propagation heat mats would improve grafted tomato transplant survival and growth. ‘Cherokee Purple’ was used as the scion and ‘RST-04-106-T’ was used as the rootstock. The whole plot factor was heat [propagation mats set at 80 °F (heat) or no propagation mat (no heat)] and the subplot factor was light exclusion (0, 4, or 6 days of dark). The highest survival rate among treatments was 97% in 0 days of dark with no heat treatment; survival decreased to 84% in 4 and 6 days of dark with no heat treatments. The plant survival rate was 96% with 0 days of dark and heat treatment; however, the survival rates were 63% and 45% for the 4- and 6-day dark treatments, respectively. The scion stem diameter was largest for transplants grown in 0 days of dark, but there was no difference in stem diameter due to heat treatments. There were no differences among scion or rootstock biomasses due to heat or light treatments. These results demonstrate that propagation mats set at 80 °F to regulate the substrate temperature were detrimental to grafted transplant survival under extended periods of light exclusion. However, this finding creates the basis to explore lower levels of substrate temperature modification. Our work also indicates that light exclusion may not be necessary for healing grafted tomato plants regardless of root-zone temperature treatments. Future work should examine the interactions of various substrate and air temperatures under full light conditions and their effects on grafted tomato transplant survival and growth. This work contributes to the ongoing research of how to optimize low-input healing methods that may be readily adopted by small-scale tomato growers.
14 pages., via online journal, With shifting demographics of agricultural professionals, online educational resources present opportunities for Extension and other natural resources faculty and personnel to use various tools for supporting agricultural producers in the 21st century using more modern technology. Traditionally, Agriculture and Natural Resource (ANR) Extension programming has used a variety of hands-on methods for teaching new, more sustainable farming practices, such as on-farm field days, workshops, farm visits, and demonstrations. While these traditional teaching methods are preferred among farmers, online support tools play a critical role in the overall decision-making process for farmers who are considering making changes to their current farming practices. Online educational resources, with mobile-friendly versions, can be used to assist Extension and Natural Resource Conservation Service (NRCS) agents meet the needs of their clients using more modern forms of technology, whether from the office or on-farm. This study employed two focus group discussions with Extension and NRCS agents and university faculty members to evaluate the usability of a cover crop website that could be used as a support tool for a variety of agricultural professionals. Four themes emerged from this study with reference to a simple, clean appearance; efficient browsing; process-thinking design; and mobile- friendly. This research will be used to inform the continued development of website tools to benefit farmers, producers, agents, and other stakeholders.
12 pages., Digitalization is a key enabler of sustainable development of cities’ socio-economic dynamics with the potential to foster climate-friendly urban environments and societies. The advent of the 4th industrial revolution has seen the increased application of digitalization in several fields and at different levels. High-tech digital devices, platforms and environments are increasingly being deployed to enhance productivity, efficiency and sustainability, and improve overall well-being of urban dwellers. Digitalization is projected to further impact cities in future, transform jobs and trigger life-style changes with far-reaching impacts that will ultimately affect cities’ resilience and adaptation capacities. While a growing body of research has highlighted the significance of digitalization to climate change mitigation such as reducing GHG and CO2 emissions, comprehensive evaluations of the potentials of digitalization as an enabler of climate change adaptation remain scarce. This paper addresses this gap by analysing the current trend in digital revolution in relation to climate change adaptation and examines the likely challenges of digitalization. A desk research method was adopted, focusing on core digitalization concepts driving the Fourth Industrial Revolution (IR 4.0). Nine case studies in cities across various continents were selected to assess the potentials of digitalization in addressing climatic hazards and to highlight benefits from implementing digitalization, while considering the social-ecological-technological challenges and tensions around IR 4.0. Our findings reveal the capabilities of digitalization in supporting more effective early warning and emergency response systems, enhancing food and water security, improving power infrastructure performance, enabling citizen engagement and participatory adaptation measures and minimizing the impacts of climatic hazards. Finally, we recommend feasible pathways to overcome present risks and challenges in order to optimize the numerous opportunities offered by digitalization in support of climate change adaptation initiatives.
17 Pages., Given the marked heterogeneous conditions in smallholder agriculture in Sub-Saharan Africa, there is a growing policy interest in site-specific extension advice and the use of digital extension tools to provide site-specific information. Empirical ex-ante studies on the design of digital extension tools and their use are rare. Using data from a choice experiment in Nigeria, we elicit and analyze the preferences of extension agents for major design features of ICT-enabled decision support tools (DSTs) aimed at site-specific nutrient management extension advice. We estimate different models, including mixed logit, latent class and attribute non-attendance models. We find that extension agents are generally willing to use such DSTs and prefer a DST with a more user-friendly interface that requires less time to generate results. We also find that preferences are heterogeneous: some extension agents care more about the effectiveness-related features of DSTs, such as information accuracy and level of detail, while others prioritise practical features, such as tool platform, language and interface ease-of-use. Recognising and accommodating such preference differences may facilitate the adoption of DSTs by extension agents and thus enhance the scope for such tools to impact the agricultural production decisions of farmers.
Nigeria, the seventh most populous country in the world, is plagued by livelihood challenges such as poverty and food insecurity, which are more pervasive among farming households and rural communities. Organic farming is being promoted by some domestic non-governmental organizations as a means of addressing the problem of poverty and food insecurity among farming households and rural communities in the country. Promoters consider organic farming to be well-suited to smallholder farmers’ socio-economic conditions in Nigeria, and that it can help improve their livelihood conditions through increased agricultural productivity and farm income. However, the adoption of the technology by smallholder farmers has been underwhelming, for reasons yet to be studied. Using a livelihood framework and through a case study of farmers in Ibadan, Oyo State, this study qualitatively explores and provides insights into the factors that influence, constrain, and gender the adoption of organic farming in Nigeria. Overall, it was found that a mix of factors, which include institutional considerations, farmers’ livelihood assets and vulnerability contexts, their livelihood activities, and gender-related variables shaped adoption decision-making. The policy implications of the findings were outlined.
10 pages., The smart farm, a future-oriented farm operation that integrates information and communications technologies, is an emerging trend in agriculture. This study investigates the factors affecting the adoption of the smart farm in Korea and analyzes them empirically. The research model is based on Rogers' innovation diffusion theory and existing models of adoption of information technology in organizations. The model proposes that adoption of innovative technology is influenced by relative advantages, complexity, and compatibility of the technology, the innovativeness and IT knowledge characteristics of the CEOs, financial costs, human resource vulnerability and lack of skills, competitive pressure, government support and the change to the digital environment. These factors were categorized according to TOE framework, investigated, and empirically tested using survey data to determine their influence on the adoption of smart farms. The results showed that the compatibility of technology, financial costs for the organization, and the digital environment change influence the adoption of smart farms. This study suggests practical implications for the adoption of smart farm technology based on the results.
7 pages., Agricultural extension as a mean of dissemination of agricultural latest technologies to the farming communities and motivating them for its adoption can be achieved through better use of communication among relevant stakeholders. The existing extension and communication strategies used in Khyber Pakhtunkhwa province have many limitations. The present study was thus conducted to compare and analyze the farmers’ perceptions regarding use of information and communication technologies (ICT) in agriculture extension at three selected districts of Khyber Pakhtunkhwa. Based on the multi-stage sampling technique, population for the current study, 3 zones from 5 were purposively selected on the basis of their different agricultural condition. Selection of sample size was made using Yamane formula. The number of respondents as per formula was confined to 188 respondents in district Mansehra, 153 respondents in district Swabi and 59 respondents from district Karak, where data were collected randomly. Five point Likert scale was used to record responses of the respondents. The results of the study clearly showed that majority of the farmers in the study area were literate (73%) and comparatively was greater in district Mansehra (77%), while least in district Swabi (64%) using ICT for agricultural purposes and observed a significant correlation between the literacy and ICT i.e. 0.77. The results also showed that 39% respondents from District Mansehra, and 33% from district Swabi were fulltime farmers, used ICT. The results also showed that regarding the effectiveness of ICT tools in crop production, printed material; TV and Mobile Phone were used in districts Mansehra, Karak and Swabi respectively. Similarly, it was also inferred that ICT is very effective tool for communication between farmers and with extension workers. Hence, ICT is the most effective and useful tool for the improvement of the overall extension delivery system, so agriculture extension department may establish a formal structure to initiate free SMS and voice message service in the easiest and understandable languages for increasing overall coverage of the extension delivery.
